US Presidential Electoral Reform :  An Agent Based Approach to the US Presidential Electoral System

This paper will be utilizing a Systems Thinking Agent Based Approach (ABA) to model and understand the US presidential electoral system. Through this process, an understanding of the influential actors, their relationships with each other, and the end results of these interactions can be achieved. The goal of this analysis is to discover various recommendations for the current model that can alter the end behavior of it to more closely match its original desired function from the perspective of the US general public.

Content

Author and article information

Journal

Title: Journal of Systems Thinking Preprints

Publisher: Cabrera Research Lab

Publication date (Electronic preprint): 11 May 2022

Affiliations

[1 ] Cornell University

Author notes

[* ]Email: ds879@ 123456cornell.edu .

Author information

Daniel Sharfarz https://orcid.org/0000-0002-2389-9130

Article

DOI: 10.54120/jost.pr000008.v1

SO-VID: d935376e-a3bd-4eb1-80c7-187d64af453e

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

History

Date received : 11 May 2022

Data availability: All data generated or analysed during this study are included in this published article (and its supplementary information files).

ScienceOpen disciplines: Political science

Keywords: Systems Thinking, ABA Analysis, US Elections

US Presidential Electoral Reform : An Agent Based Approach to the US Presidential Electoral System

Abstract